Ontology-based Classification of Email

Authors

Kazem Taghva, University of Nevada, Las VegasFollow
Julie Borsack, University of Nevada, Las VegasFollow
Jeffrey Coombs, University of Nevada, Las VegasFollow
Allen Condit, University of Nevada, Las VegasFollow
Steve Lumos, University of Nevada, Las VegasFollow
Thomas Nartker, University of Nevada, Las VegasFollow

Meeting name

International Conference on Information Technology: Coding and Computing

Document Type

Conference Proceeding

Publication Date

4-28-2003

Abstract

We report on the construction of an ontology that applies rules for identification of features to be used for email classification. The associated probabilities for these features are then calculated from the training set of emails and used as a part of the feature vectors for an underlying Bayesian classifier.

Keywords

Bayesian classifier; Classification; Electronic mail; Electronic mail messages; Electronic mail systems; Feature vectors; Knowledge representation; Ontologies (Information retrieval); Ontology; Ontology-based email classification; Record manager; Sorting (Electronic computers)

Disciplines

Computer Engineering | Computer Sciences | Electrical and Computer Engineering | Software Engineering

Permissions

Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.

Repository Citation

Taghva, K., Borsack, J., Coombs, J., Condit, A., Lumos, S., Nartker, T. (2003, April). Ontology-based Classification of Email. Presentation at International Conference on Information Technology: Coding and Computing,

Available at: https://digitalscholarship.unlv.edu/ece_presentations/34